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计算方法应用字符串编辑算法来创建准确的视觉扫描路径
Ricardo Palma Fraga1, Ziho Kang1
1University of Oklahoma, USA.
Journal of eye movement research
|January 29, 2025
概括
精确的眼动检测依赖于精确的值来识别固定和摇摆. 新的计算方法提高了门准确度,显著超过分析视觉扫描路径的标准基准.
科学领域:
- 眼科医生 眼科 眼科
- 计算机科学 计算机科学
- 人与计算机的交互
背景情况:
- 像I-VT这样的眼动检测算法需要精确的值选择来识别固定和摇摆.
- 不准确的值可能导致错误的眼动分类,并影响视觉扫描路径分析.
- 当前的值评估方法通常是劳动密集型的,或者需要对预期的扫描路径提供不可用的数据.
研究的目的:
- 引入和评估两种新的计算方法,以确定眼动检测的最佳值.
- 为了解决现有的手动或数据依赖的值选择技术的局限性.
- 为了提高识别眼睛固定,冲刺和随后的视觉扫描路径的准确性.
主要方法:
- 提出了两种计算方法:"参与者之间的比较"和"参与者内部比较".
- 通过使用 Gazebase 数据集与目标追踪任务来评估这些方法.
- 将确定值的准确性与目标目标的已知轨迹进行比较.
主要成果:
- 提出的方法确定了220°/s和210°/s的最佳值.
- 这些值与预期的视觉扫描路径达到了83%的相似性.
- 这显著超过了30°/s的基准值,只有41.5%的相似性.
结论:
- 开发的计算方法为研究人员提供了一种有效的手段,以确定I-VT算法的准确值.
- 这些方法有望改善各个研究领域的眼动数据分析.
- 这些发现表明,处理目光数据以进行可靠的视觉扫描路径重建的更客观和更有效的方式.
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